Senior Data/AI Engineer

This is a fully remote position, open to applicants in Latin America.

📋 Description

• Design and develop workflows powered by AI, including agents, assistants, and tool-enabled services.

• Create and sustain backend services utilizing contemporary web frameworks and server-side programming languages.

• Execute RAG-style retrieval systems and assist in prompt engineering and model interaction strategies.

• Integrate large language models (LLMs) into production settings and construct scalable service layers for model inference and orchestration.

• Engage with vector search technologies and embedding pipelines as necessary.

• Design and manage ETL/ELT pipelines for batch, streaming, or hybrid workloads.

• Model data to meet analytics and application requirements, adhering to best practices in schema design and storage optimization.

• Implement mechanisms for data quality, validation, auditing, and observability.

• Guarantee secure and dependable connectivity across cloud, on-premise, and hybrid environments.

• Collaborate to establish semantic business logic, reusable metrics, and shared data assets.

• Design and implement scalable APIs (REST, Queues, Events).

• Build integrations that connect AI systems with external applications, services, or platforms.

• Develop secure patterns for authentication, authorization, and secrets management.

• Ensure the overall backend architecture is modular, maintainable, and extensible.

• Write and optimize complex queries across relational and NoSQL databases.

• Design efficient schemas, indexing strategies, and caching solutions to support high-performance AI/data workloads.

• Conduct load and performance testing while implementing safeguards to meet system reliability objectives.

• Lead and conduct data governance and data security best practices.

• Architect and implement systems for scalability, reliability, and security across backend and data layers.

• Add and maintain observability features (logs, metrics, traces), alerting, and runbooks.

• Contribute to CI/CD, automation, and environment-based deployments.

• Adhere to privacy and security norms such as PII, HIPAA, SOC 2 Type 2, or similar standards.

• Collaborate with AI researchers to develop models and assess their performance.

• Work alongside the Solution Architect to ensure designs align with long-term architecture goals.

• Partner with Product teams to translate AI and data capabilities into impactful user features.

• Stay updated on emerging technologies in AI, backend, and data engineering and share insights with the team.

⛳️ Requirements

• Over 7 years of experience in data engineering with a background in backend engineering and AI-powered systems.

• Demonstrated experience in delivering production-quality services, APIs, and data pipelines from start to finish.

• Strong proficiency in at least one programming language for developing data pipelines (Python, R, Java, Go, C#).

• Practical experience with integrating or building systems that utilize large language models (LLMs) or comparable AI technologies.

• Experience with RAG pipelines, vector search, or agentic automation frameworks (any stack).

• Knowledge of any AI Agent Framework (CrewAI, OpenAI, Langchain).

• Proficient in using Jupyter Notebook.

• Strong understanding of API design, service architecture, and secure integration methodologies.

• Solid SQL skills with a strong foundation in data modeling, schema optimization, and performance tuning.

• Familiarity with CI/CD processes, infrastructure automation, and cloud environments (any provider).

🏝️ Benefits

• Over 20 paid time off days.